To effectively market Equitus.ai's EVS and KGNN solutions to IBM Power clients, the plan should leverage technical synergies, industry-specific use cases, and IBM's existing ecosystem. Here's a strategic approach:
Core Value Proposition
AI-Ready Data Infrastructure
KGNN automates data unification across siloed systems (CRM, IoT sensors, legacy databases) while EVS adds real-time video/geospatial context12. Combined, they create a decision-making fabric that:
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Reduces AI training costs by 40-60% through automated data structuring8
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Enables edge AI deployment on Power10 servers without GPU dependencies2
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Delivers 360° operational visibility via multi-domain correlation (video feeds + transactional data + sensor streams)1
Target Industries & Use Cases
| Industry | KGNN Application | EVS Integration |
|---|---|---|
| Defense/Intel | Threat pattern recognition across SIGINT/OSINT | Drone video analysis + geospatial mapping8 |
| Retail | Unified customer journey mapping | In-store behavior tracking + inventory optimization6 |
| Healthcare | Patient data harmonization (EHR/imaging/labs) | Surgical workflow monitoring + equipment tracking1 |
Technical Differentiation
Position against IBM Cloud competitors by emphasizing:
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3-5x faster processing on Power10 vs x86 cloud instances8
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Native integration with PowerVS for hybrid deployments3
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Zero data egress costs with on-prem KGNN deployments1
Go-To-Market Strategy
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Co-Marketing with IBM
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Channel Enablement
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Train IBM Global Services teams on implementation workflows
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Develop pre-built connectors for IBM Cloud Pak for Data
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Create vertical-specific solution blueprints (retail, healthcare, etc.)
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Proof-of-Value Campaigns
Offer free Data Maturity Assessments that:-
Audit existing data silos
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Map AI readiness gaps
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Project ROI using Equitus' TCO calculator8
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Sales Enablement Tools
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Interactive Demo Environment: Pre-loaded with sample Power Systems data
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Competitive Battlecard: KGNN vs. Neo4j/TigerGraph performance metrics on Power10
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ROI Calculator: Compare cloud AI training costs vs on-prem KGNN deployment8
Key Messaging
For Technical Buyers
"Reduce AI model training cycles from months to days with automated knowledge graph generation" 28
For Business Leaders
"Turn surveillance footage into shelf inventory insights without cloud dependency" 16
For Security Teams
"Maintain data sovereignty while enabling AI/ML workflows" 8
This approach combines Equitus' technical capabilities with IBM's enterprise reach, focusing on measurable outcomes in AI efficiency and edge deployment advantages.
- https://www.equitus.ai
- https://equitus.ai/kgnn-knowledge-graph-neural-network/
- https://techchannel.com/industry-news/power-systems-vs-client-option/
- https://www.marketingexplainers.com/ibms-marketing-strategy-explained/
- https://finance.yahoo.com/news/ibm-collaborates-wpp-revolutionize-b2b-160500882.html
- https://www.retailtouchpoints.com/features/executive-viewpoints/ai-powered-knowledge-graph-the-key-to-personalized-customer-journeys
- https://www.itjungle.com/2019/11/25/ibm-i-marketing-not-a-thankless-job/
- https://www.linkedin.com/company/equitus
- https://contentmarketinginstitute.com/strategy-planning/how-ibm-uses-data-to-power-its-account-based-marketing-strategy
- https://www.lakeb2b.com/list/ibm-power-systems-users-data/
- https://drbrandagency.com/digital-marketing/ibm-marketing-strategy/
- https://akshatsinghbisht.com/what-is-ibms-marketing-strategy/
- https://thebrandhopper.com/2023/10/10/marketing-strategies-and-marketing-mix-of-ibm/
- https://www.youtube.com/@equitus
- https://x.com/equituscorp
- https://www.youtube.com/watch?v=04lqH0hjR50
- https://www.instagram.com/equitus.ai/
- https://www.redbooks.ibm.com/redpapers/pdfs/redp5432.pdf
- https://www.esfi.org/emerging-technologies-electric-vehicles/
- https://afdc.energy.gov/fuels/electricity-benefits
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